Upskill in AI, Data Science & ML

Learn from the Best

Earn a Certificate of Completion from MIT IDSS

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Note: The image is for illustrative purposes only. The actual certificate may be subject to change at the discretion of MIT IDSS.

#1

MIT rank in
World Universities

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QS World University Rankings, 2025

#2

MIT Rank in
National Universities

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U.S. News & World Report Rankings, 2024-2025

Comprehensive curriculum to help

Master industry-valued skills

Designed by MIT faculty, the curriculum covers core concepts in Python, LLMs and GenAI, machine learning, and multi-agent systems

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Python

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Machine Learning

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Deep Learning

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Recommendation Systems

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Computer Vision

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Predictive Analytics

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Prompt Engineering

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Retrieval-Augmented Generation

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Generative AI

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Ethical AI

Adaptive RAG

Adaptive RAG

Agentic AI

Agentic AI

Multi-Agent Systems

Multi-Agent Systems

Neural Networks

Neural Networks

Responsible AI

Responsible AI

4

4 Hands-on Projects

15+

Case Studies

3

GenAI Masterclasses

Designed for
Working Professionals
Like You

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Video lectures by MIT Faculty

Recorded by the very best, for you to learn at your own pace

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Weekly online mentorship by experts

Get assistance on projects and reinforce concepts through weekly sessions

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Dedicated program support

Get access to a dedicated program manager to help you with queries

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Build an industry-ready portfolio

Learn to extract business insights from data by working on 4 hands-on projects and 15+ case studies

Our Alumni Experience

Being an online program, you get all the benefits of the flexible study and instant access to the rich resources through the advanced learning platform.

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Rana Risheh

Director and Quality Supervisor

The instructors & coordinators were amazing and always cleared my doubts. I am already using unsupervised Machine Learning algorithms in my robotics projects.

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Salman Siddiqui

Control System Integrator

My exposure to the Data Science & ML Program was exceptional. The professors were phenomenal and supported us with mentoring sessions and online video educational sessions.

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Lanetta Bronte-Hall

President and CEO Foundation

I have taken several programs, but the experience from this program is so different from multi-dimensional perspectives. I would highly recommend this program.

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Oluwarotimi Williams Samuel

Research Scientist

I really enjoyed Neural Network and Deep Learning, whereas recommendation systems and Predictive Analytics was challenging and exciting at the same time.

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Kaase Gbakon

Senior Analyst, Ministry of Energy and Resource

This is a great addition to my career in behavioral economics in Health Promotion & Nutrition Sciences. I recommend this program to anyone looking to integrate Data Science & ML into their field of study.

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Monica Pampell

Health Science Analyst

Learn Advanced AI, Data Science & ML Skills from

World-renowned MIT faculty

  • Devavrat Shah

    Devavrat Shah

    Andrew (1956) and Erna Viterbi Professor

    EECS and IDSS

  • Munther Dahleh

    Munther Dahleh

    William A. Coolidge Professor

    EECS and IDSS; Founding Director, IDSS

  • John N. Tsitsiklis

    John N. Tsitsiklis

    Clarence J. Lebel Professor

    Dept. of Electrical Engineering & Computer Science (EECS) at MIT

  • Ankur Moitra

    Ankur Moitra

    International Career Development Professor

    Applied Mathematics and IDSS, MIT

  • Caroline Uhler

    Caroline Uhler

    Professor

    EECS and IDSS

  • David Gamarnik

    David Gamarnik

    Nanyang Technological University Professor

    Operations Research, Sloan School of Management and IDSS, MIT

  • Guy Bresler

    Guy Bresler

    Associate Professor

    EECS and IDSS, MIT

  • Jonathan Kelner

    Jonathan Kelner

    Professor

    Mathematics, MIT

  • Kalyan Veeramachaneni

    Kalyan Veeramachaneni

    Principal Research Scientist

    Laboratory for Information and Decision Systems, MIT

  • Philippe Rigollet

    Philippe Rigollet

    Professor

    Mathematics and IDSS, MIT

  • Stefanie Jegelka

    Stefanie Jegelka

    Associate Professor

    EECS and IDSS

  • Tamara Broderick

    Tamara Broderick

    Associate Professor

    EECS and IDSS, MIT

  • Victor Chernozhukov

    Victor Chernozhukov

    Professor

    Economics and IDSS, MIT

Fuel your Career transition with

Dedicated career support

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Get your Resume & Linkedin profile reviewed by experts

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Showcase your skills with an industry-ready e-portfolio

In collaboration with

MIT Institute for Data, Systems, and Society (IDSS) is collaborating with online education provider Great Learning to offer the AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact. This program leverages MIT's leadership in innovation, science, engineering, and technical disciplines developed over years of research, teaching, and practice. Great Learning collaborates with institutions to manage enrollments (including all payment services and invoicing), technology, and participant support. Accessibility

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4.7

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Rated by worldwide learners

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